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Kniha Spectral imaging analysis models Keshav Dev Singh

Spectral imaging analysis models

Remote Sensing Satellites Imagery Data Processing Techniques for Mineral Exploration: A Geo-science Perspective

Autor: Keshav Dev Singh
Jazyk: Angličtina
Vazba: Brožovaná
Vydavatel: LAP Lambert Academic Publishing
Dostupnost: Skladem u dodavatele
Odesíláme za 5-8 dnů
1 555 Kč
Hyperspectral Imagery combines imaging and spectroscopy in single systems which often include large...

Informace o knize

Autor
Keshav Dev Singh
Jazyk
Angličtina
Vazba
Kniha - Brožovaná
Vydáno
2012
Stránek
264
EAN
9783659250323
Enbook ID
07091436
Vydavatel
LAP Lambert Academic Publishing
Hmotnost
411
Rozměry
150 x 220 x 16

Kompletní popis

Hyperspectral Imagery combines imaging and spectroscopy in single systems which often include large data sets and require new processing methods. The spatial resolution of most space borne Hyperspectral (HSI) sensors is much coarser than the size of the objects being observed. Therefore the measured spectral signature is a mixture of the signatures of the objects in the field of view (FOV) of the sensor. One of the tedious and time consuming tasks related to hyperspectral data analysis is the identification of library candidates. The high spectral resolution can be effectively used to decompose measured spectra into its constituents by way of spectral unmixing. Spectral Unmixing is the process by which the measured spectrum is decomposed into a collection of constituent spectra (or endmembers), and a set of corresponding fractions (or abundances). Thus spectral unmixing allows us to detect and classify sub-pixel target objects by their contribution to the measured spectral signature. The application area includes Agriculture, Forestry, Geology, Hydrology, Sea ice and Water, Environment, Land cover, Mapping, Ocean and Coastal, Military Operations, Geo-explorations, and Bio-sciences.

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